A
license-
qualityD
maintenanceA-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
34
MIT
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"A GitHub repository for an MCP server with a clear description of config.json" matching MCP servers:
- Alicense-qualityDmaintenanceEnables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.1MIT
- Flicense-qualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.10
- Alicense-qualityBmaintenanceMCP server that provides a citation-first memory layer for AI agents, enabling verified search across Git-backed repositories and optional conversation memory. It exposes tools for doctor, sync, search, get, init, and ingest, returning JSON results with verified citations or abstain status.MIT
- AlicenseCqualityBmaintenanceProvides systematic thinking tools including mental models, design patterns, debugging approaches, and collaborative reasoning frameworks to enhance problem-solving and decision-making capabilities.1136MIT
- Alicense-qualityBmaintenanceEnables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.MIT
- Alicense-qualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- Alicense-qualityBmaintenanceEnables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.MIT
- Alicense-qualityDmaintenanceMCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol.1MIT
- Alicense-qualityDmaintenanceA scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.31MIT
- Flicense-qualityCmaintenanceA local-first RAG system that indexes personal documents and enables querying them via an MCP tool, keeping data private with local embeddings.
- Flicense-qualityDmaintenanceEnables semantic search over local knowledge bases like Obsidian notes, SQLite, and plaintext files, exposing results to Claude via MCP server.
- AlicenseBqualityAmaintenanceA lean, local knowledge graph that joins a repo's code to its aSPARK delivery artifacts, enabling agents to trace user stories to code and assess impact of changes, served over MCP.93MIT
- Alicense-qualityDmaintenanceEnables sophisticated reasoning workflows using graph-based representations for AI models.11Apache 2.0
- Alicense-qualityAmaintenancePersists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.MIT
- Flicense-qualityDmaintenanceA bridge between MCP Host applications and mem0 cloud service, specialized for project management with capabilities to store, retrieve, and search project information within a structured format.6
- Flicense-qualityCmaintenanceMCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.
- AlicenseAqualityDmaintenanceAn MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.5Apache 2.0
- AlicenseAqualityCmaintenanceEnables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.723MIT
- AlicenseBqualityFmaintenanceAoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.361MIT